Jin-Ge Yao

1.0k citations
26 papers · 697 · h-index 14

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Multimodal Machine Learning Applications

Papers in

Jin-Ge Yao

24 papers receiving 664 citations

Peers

Jin-Ge Yao
Comparison fields: 5 of 55
  • Artificial Intelligence 505
  • Computer Vision and Pattern Recognition 248
  • General Social Sciences 15
  • Management Science and Operations Research 32
  • Information Systems 54
Replace Minghao Hu with:
Minghao Hu China
Zhongqian Sun China
Yitong Li China
Thibaut Thonet France
Xinchi Chen China
Amit Purushottam Pimpalkar India
Haoran Li China
Devendra Singh Sachan United States
Heng-yang Lu China
Muyun Yang China
Jin-Ge Yao relative to Minghao Hu China Minghao Hu's profile →
Citations per field
00.5×2×3×4×4.6×
Minghao Hu · 1×
Citations per year

Countries citing papers authored by Jin-Ge Yao

Since Specialization
Citations

This map shows the geographic impact of Jin-Ge Yao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin-Ge Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Ge Yao more than expected).

Fields of papers citing papers by Jin-Ge Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Ge Yao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin-Ge Yao. The network helps show where Jin-Ge Yao may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin-Ge Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin-Ge Yao Line = papers co-authored together Jin-Ge Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2017102
3 201975
4 201953
5 201548
6 201837
7 201629
8
Compressive document summarization via sparse optimization
201526
9 201826
10 202122
11 202022
12 201820
13 201815
14 201614
15 201812
16
LinkingPark: An Integrated Approach for Semantic Table Interpretation.
20208
17 20188
18 20227
19 20173
20
Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination
20172

About Jin-Ge Yao

Jin-Ge Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and General Social Sciences, having authored 26 papers that have together received 697 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers), Advanced Text Analysis Techniques (7 papers), Semantic Web and Ontologies (3 papers), Video Analysis and Summarization (3 papers), Multimodal Machine Learning Applications (3 papers), Sports Analytics and Performance (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Artificial Intelligence (505 citations), Computer Vision and Pattern Recognition (248 citations), General Social Sciences (15 citations), Management Science and Operations Research (32 citations) and Information Systems (54 citations). Jin-Ge Yao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiaojun Wan, Jianguo Xiao, Chin-Yew Lin, Lang Huang, Jianyuan Guo, Kai Han, Yuhui Yuan, Chao Zhang, Tianyu Liu and Jinpeng Wang. Their work appears in journals such as Knowledge and Information Systems, Journal of Web Semantics, Lecture notes in computer science, International Conference on Artificial Intelligence and International Joint Conference on Natural Language Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact